Data Scientist - Operations Research in Surgery

Who We Are

OpenTeams is the services marketplace where open source software users can find, vet, and contract with service providers. At OpenTeams we believe in a culture of do-ers, learners, and collaborators. We are looking for people who are motivated, humble, curious, and respectful of others. In order to meet the demands of our high growth business, we are looking for talented individuals to provide insights, solutions, and strategy to our internal leadership team and client partners. 

Onsite Presence (Houston, TX): Required

Salary: $91K - $136K

The chosen applicant will have demonstrated experience with computing/programming (Python, Matlab, R, C++, Java, and/or SQL), machine learning / deep learning methods including neural network design, and statistical analysis. Preference is for candidates with background in data science, with particular interest in candidates with knowledge and experience in optimization, working with large datasets, and operations research. Preferred experience with common open source scientific computing/machine learning libraries including: PyTorch / TensorFlow, pandas, scipy, PuLP, and Pyomo. Experience with database languages such as SQL is also desirable. The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, predictive analytics, supervised/unsupervised learning, and decision trees.

Responsibilities:

• Develop algorithms and mathematical models to support decision making in clinical operations.
• Collaborate and consult with clinical staff in defining, analyzing, and resolving analytical problems.
• Design, develop and implement algorithms and software used in the planning and scheduling of surgeries.
• Develop key performance metrics to measure the efficiency of surgery planning and scheduling
• Design and implement experiments to test hypotheses and validate models.
• Analyze and interpret large datasets to identify trends and patterns.
• Develop and implement machine learning algorithms to automate processes and improve decision-making.
• Coordinate the creation of robust, user-friendly software tools that can be deployed in a clinical setting.
• Work with end users to gather initial requirements, including surgeons, nurses, administrators, and other stakeholders.
• Work with other data scientists in multidisciplinary research related to systems engineering, technology development, and data-intensive methods applied to surgery and interventional radiology.
• Provide support for existing software systems as they evolve.
• Keep up to date with the latest developments in operations research and optimization techniques.
• Communicate with other team members to share information and best practices.
• Familiarity with modern object-oriented programming languages such as Python, C++, and/or Java
• Experience with open source optimization packages as well as other optimization software packages such as Gurobi, CPLEX, or MOSEK
• Experience with large scale mixed-integer linear programming
• Data extraction, transformation, and loading activities where needed to translate to and from relational data sets
• Communicate results in clear written and/or oral formats at internal and external meetings and conferences
• Must be able to fully communicate results and explain technical concepts to non-technical stakeholders.
• Ability to work independently and manage multiple projects simultaneously
  
  Collaboration and Presentation
• Interacts and participates in collaborative studies inside and outside MD Anderson.
• Presents research results at internal and external meetings and conferences
• Prepare final reports in the format requested for the data generated by suggested due date
• Willingness to learn and to help others in the implementation of new techniques
  
  Other duties as assigned
• Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. With Master's degree, one years experience required. With PhD, no experience required.
  
  
• Experience Required: Three years' experience in scientific software development/analysis.
  
  

Why You Should Join

You'll become an important part of a collaborative, remote-first team. We are a passionate and ambitious team, with a proven record of success building multiple companies. We strive to provide a working environment that g